For a sample of 27 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). He finds that SSE = 4,102,577 and SST = 7,622,089.

a. Calculate the standard error of the estimate.

Question

Bailey Delgado

Mathematics

22 June, 02:38

For a sample of 27 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). He finds that SSE = 4,102,577 and SST = 7,622,089.

a. Calculate the standard error of the estimate.

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Answers (1)

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Sherlyn Cooke · Answer 1

The standard error of the estimate is 413.4498

Step-by-step explanation:

According to the given data of, in order to calculate the standard error of the estimate we would have to use the following formula:

Standard Error = sqrt (SSE / (n-p-1))

Standard Error = sqrt (4102577 / (27-2-1))

Standard Error = 413.4498

The standard error of the estimate is 413.4498

For a sample of 27 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). He finds that SSE = 4,102,577 and SST = 7,622,089.a. Calculate the standard error of the estimate.

For a sample of 27 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). He finds that SSE = 4,102,577 and SST = 7,622,089.

a. Calculate the standard error of the estimate.